Deep Learning (DL)

Deep learning (DL) is a branch of machine learning (ML) that uses neural networks with multiple hidden layers to model complex patterns in data.

Deep architectures can learn hierarchical feature representations directly from unstructured inputs such as images, text, and audio, which reduces the need for manual feature engineering.

Training deep models often requires large labeled datasets and substantial compute. Common architectures include convolutional neural networks (CNNs), recurrent neural networks (RNNs), Transformers, and generative adversarial networks (GANs).